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Detector and framework independent Tools, geometry and event data classes for the ACTS track reconstruction toolkit. It is initially based on the ATLAS Tracking repository.
we're using data from https://www.kaggle.com/c/bike-sharing-demand/overview that precisely tracks hourly bike rental data spanning two years for the first 19 days of each month. <br><br> We're going to do an EDA and feature engineer the data to better fit the following models: - simple linear regression - ridge regression - k-nn - decision tree and try to predict future values for the total count of bikes rented during each hour
Detecting stop point in the NSW area of Australia, using GTFS-R, full GTFS data, and Road Segment Data from the official Sydney GIS website.
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